Biased By Design: Leveraging AI Biases to Enhance Critical Thinking of News Readers

Authors: Liudmila Zavolokina, Kilian Sprenkamp, Zoya Katashinskaya, Daniel Gordon Jones

Published: 2025

Publication: ArXiv

The study explores leveraging inherent biases in AI to enhance critical thinking in news consumption, proposing strategies such as bias awareness, personalization, and gradual introduction of diverse perspectives.

Methods: Qualitative user study investigating user responses to personalized AI-driven propaganda detection tools.

Key Findings: The effectiveness of AI bias-based strategies in improving critical thinking and news readers’ engagement with diverse perspectives.

Limitations: The study remains qualitative, lacking quantitative validation and broader investigation of its applicability across diverse user groups.

Institution: University of Zurich

Research Area: AI Ethics, AI Bias, News Literacy, Critical Thinking,Computational Social Science

Discipline: Computational Social Science